Imaging characterization of adnexal lesions: Do CT findings correlate with US? View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2018-07

AUTHORS

Akshay D. Baheti, Cory E. Lewis, Daniel S. Hippe, Ryan B. O’Malley, Carolyn L. Wang

ABSTRACT

OBJECTIVE: To compare contrast-enhanced CT and US agreement in characterizing adnexal lesions in late post-menopausal women. MATERIALS AND METHODS: This was a HIPAA-compliant IRB-approved retrospective review of the contrast-enhanced CTs of 130 late post-menopausal women (> 55 years). The lesions were classified as simple cystic, minimally complex cystic, complex cystic, solid-cystic, or solid based on CT and US morphology. Findings were analyzed to evaluate agreement between CT and US on adnexal lesion characterization. RESULTS: One forty-one adnexal lesions were assessed by both contrast-enhanced CT and US. Overall, there was good agreement between CT and US, which agreed on the lesion morphology in 114 (81%) cases with an unweighted kappa value of 0.68 (95% CI 0.56-0.78). By CT, 83 (59%) were classified as simple cystic, of which 73/83 (88%) were confirmed as simple cystic by US. Of the remaining 10 CT simple cysts, 9 were reclassified by US as minimally complex cystic and one as complex cystic. Eight of these lesions were benign based on pathology or follow-up imaging, while two lesions remained indeterminate. By CT, 27 lesions (19%) were classified as minimally complex, while US reclassified 13 (48%) of the lesions (eight to simple cystic and five as complex or solid-cystic). Among the 31 remaining lesions, there were 4 (13%) discordances between CT and US. CONCLUSION: There is good agreement between CT and US in characterizing adnexal lesion morphology, particularly simple cysts. However, there was significant discordance seen with characterization of minimally complex cysts, indicating that these lesions need US follow-up. More... »

PAGES

1764-1771

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s00261-017-1357-3

DOI

http://dx.doi.org/10.1007/s00261-017-1357-3

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1092249350

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/29043402


Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
Incoming Citations Browse incoming citations for this publication using opencitations.net

JSON-LD is the canonical representation for SciGraph data.

TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

[
  {
    "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
    "about": [
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/1117", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Public Health and Health Services", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/11", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Medical and Health Sciences", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Tata Memorial Hospital", 
          "id": "https://www.grid.ac/institutes/grid.410871.b", 
          "name": [
            "Department of Radiology, University of Washington Medical Center, 1959 NE Pacific Street, 98195, Seattle, WA, USA", 
            "Department of Radiology, Tata Memorial Center, E Borges Road, 400012, Parel, Mumbai, India"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Baheti", 
        "givenName": "Akshay D.", 
        "id": "sg:person.0732323454.91", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0732323454.91"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Washington Medical Center", 
          "id": "https://www.grid.ac/institutes/grid.412623.0", 
          "name": [
            "Department of Radiology, University of Washington Medical Center, 1959 NE Pacific Street, 98195, Seattle, WA, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Lewis", 
        "givenName": "Cory E.", 
        "id": "sg:person.014627242503.12", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014627242503.12"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Washington Medical Center", 
          "id": "https://www.grid.ac/institutes/grid.412623.0", 
          "name": [
            "Department of Radiology, University of Washington Medical Center, 1959 NE Pacific Street, 98195, Seattle, WA, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Hippe", 
        "givenName": "Daniel S.", 
        "id": "sg:person.0764104440.34", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0764104440.34"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Washington Medical Center", 
          "id": "https://www.grid.ac/institutes/grid.412623.0", 
          "name": [
            "Department of Radiology, University of Washington Medical Center, 1959 NE Pacific Street, 98195, Seattle, WA, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "O\u2019Malley", 
        "givenName": "Ryan B.", 
        "id": "sg:person.01246760377.33", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01246760377.33"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Washington Medical Center", 
          "id": "https://www.grid.ac/institutes/grid.412623.0", 
          "name": [
            "Department of Radiology, University of Washington Medical Center, 1959 NE Pacific Street, 98195, Seattle, WA, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Wang", 
        "givenName": "Carolyn L.", 
        "id": "sg:person.01176525467.80", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01176525467.80"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1016/j.ajog.2009.11.029", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000194916"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/uog.5365", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002533949"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ygyno.2003.11.029", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003947030"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3109/00016349709024585", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009932146"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1136/bmj.c6839", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015042546"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/00006250-200309000-00030", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017694216"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/00006250-200309000-00030", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017694216"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jacr.2013.05.023", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020465272"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1148/radiol.10100213", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029282877"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1148/radiol.11102467", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045388740"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2214/ajr.09.3522", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1069300519"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2214/ajr.168.3.9057508", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1069320700"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2214/ajr.182.5.1821259", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1069326122"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.4329/wjr.v5.i3.113", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1072524715"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1079075400", 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2018-07", 
    "datePublishedReg": "2018-07-01", 
    "description": "OBJECTIVE: To compare contrast-enhanced CT and US agreement in characterizing adnexal lesions in late post-menopausal women.\nMATERIALS AND METHODS: This was a HIPAA-compliant IRB-approved retrospective review of the contrast-enhanced CTs of 130 late post-menopausal women (>\u00a055\u00a0years). The lesions were classified as simple cystic, minimally complex cystic, complex cystic, solid-cystic, or solid based on CT and US morphology. Findings were analyzed to evaluate agreement between CT and US on adnexal lesion characterization.\nRESULTS: One forty-one adnexal lesions were assessed by both contrast-enhanced CT and US. Overall, there was good agreement between CT and US, which agreed on the lesion morphology in 114 (81%) cases with an unweighted kappa value of 0.68 (95% CI 0.56-0.78). By CT, 83 (59%) were classified as simple cystic, of which 73/83 (88%) were confirmed as simple cystic by US. Of the remaining 10 CT simple cysts, 9 were reclassified by US as minimally complex cystic and one as complex cystic. Eight of these lesions were benign based on pathology or follow-up imaging, while two lesions remained indeterminate. By CT, 27 lesions (19%) were classified as minimally complex, while US reclassified 13 (48%) of the lesions (eight to simple cystic and five as complex or solid-cystic). Among the 31 remaining lesions, there were 4 (13%) discordances between CT and US.\nCONCLUSION: There is good agreement between CT and US in characterizing adnexal lesion morphology, particularly simple cysts. However, there was significant discordance seen with characterization of minimally complex cysts, indicating that these lesions need US follow-up.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s00261-017-1357-3", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1297457", 
        "issn": [
          "2366-004X", 
          "2366-0058"
        ], 
        "name": "Abdominal Radiology", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "7", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "43"
      }
    ], 
    "name": "Imaging characterization of adnexal lesions: Do CT findings correlate with US?", 
    "pagination": "1764-1771", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "3c14701600c67d68cc2848bab79fefb3450758e3ef0fc324be7d1ac2bd5866b7"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "29043402"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "101674571"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s00261-017-1357-3"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1092249350"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s00261-017-1357-3", 
      "https://app.dimensions.ai/details/publication/pub.1092249350"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-10T23:33", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000001_0000000264/records_8693_00000563.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://link.springer.com/10.1007%2Fs00261-017-1357-3"
  }
]
 

Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/s00261-017-1357-3'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/s00261-017-1357-3'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s00261-017-1357-3'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s00261-017-1357-3'


 

This table displays all metadata directly associated to this object as RDF triples.

142 TRIPLES      21 PREDICATES      43 URIs      21 LITERALS      9 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s00261-017-1357-3 schema:about anzsrc-for:11
2 anzsrc-for:1117
3 schema:author Nd7e5b6bbf91b4cddbdeb0cd3c1207348
4 schema:citation https://app.dimensions.ai/details/publication/pub.1079075400
5 https://doi.org/10.1002/uog.5365
6 https://doi.org/10.1016/j.ajog.2009.11.029
7 https://doi.org/10.1016/j.jacr.2013.05.023
8 https://doi.org/10.1016/j.ygyno.2003.11.029
9 https://doi.org/10.1097/00006250-200309000-00030
10 https://doi.org/10.1136/bmj.c6839
11 https://doi.org/10.1148/radiol.10100213
12 https://doi.org/10.1148/radiol.11102467
13 https://doi.org/10.2214/ajr.09.3522
14 https://doi.org/10.2214/ajr.168.3.9057508
15 https://doi.org/10.2214/ajr.182.5.1821259
16 https://doi.org/10.3109/00016349709024585
17 https://doi.org/10.4329/wjr.v5.i3.113
18 schema:datePublished 2018-07
19 schema:datePublishedReg 2018-07-01
20 schema:description OBJECTIVE: To compare contrast-enhanced CT and US agreement in characterizing adnexal lesions in late post-menopausal women. MATERIALS AND METHODS: This was a HIPAA-compliant IRB-approved retrospective review of the contrast-enhanced CTs of 130 late post-menopausal women (> 55 years). The lesions were classified as simple cystic, minimally complex cystic, complex cystic, solid-cystic, or solid based on CT and US morphology. Findings were analyzed to evaluate agreement between CT and US on adnexal lesion characterization. RESULTS: One forty-one adnexal lesions were assessed by both contrast-enhanced CT and US. Overall, there was good agreement between CT and US, which agreed on the lesion morphology in 114 (81%) cases with an unweighted kappa value of 0.68 (95% CI 0.56-0.78). By CT, 83 (59%) were classified as simple cystic, of which 73/83 (88%) were confirmed as simple cystic by US. Of the remaining 10 CT simple cysts, 9 were reclassified by US as minimally complex cystic and one as complex cystic. Eight of these lesions were benign based on pathology or follow-up imaging, while two lesions remained indeterminate. By CT, 27 lesions (19%) were classified as minimally complex, while US reclassified 13 (48%) of the lesions (eight to simple cystic and five as complex or solid-cystic). Among the 31 remaining lesions, there were 4 (13%) discordances between CT and US. CONCLUSION: There is good agreement between CT and US in characterizing adnexal lesion morphology, particularly simple cysts. However, there was significant discordance seen with characterization of minimally complex cysts, indicating that these lesions need US follow-up.
21 schema:genre research_article
22 schema:inLanguage en
23 schema:isAccessibleForFree false
24 schema:isPartOf N1c5536559f5f4763bab0cfac8b7b153c
25 Nba1340f1c42944179725755565ab0f04
26 sg:journal.1297457
27 schema:name Imaging characterization of adnexal lesions: Do CT findings correlate with US?
28 schema:pagination 1764-1771
29 schema:productId N0a65bac457dc493c92a9eec43bd186fd
30 N329f65e32eef4faaa69f585d19f7ef0c
31 N67218db4dc334a0e824df947ff115040
32 Nb5fc061836a247a6b269f2b7da6139d6
33 Nff0bb7e2ccce4c93b3d138f1decdf907
34 schema:sameAs https://app.dimensions.ai/details/publication/pub.1092249350
35 https://doi.org/10.1007/s00261-017-1357-3
36 schema:sdDatePublished 2019-04-10T23:33
37 schema:sdLicense https://scigraph.springernature.com/explorer/license/
38 schema:sdPublisher Ne14f2640860d46c7b010f419d1c9babb
39 schema:url https://link.springer.com/10.1007%2Fs00261-017-1357-3
40 sgo:license sg:explorer/license/
41 sgo:sdDataset articles
42 rdf:type schema:ScholarlyArticle
43 N0a65bac457dc493c92a9eec43bd186fd schema:name nlm_unique_id
44 schema:value 101674571
45 rdf:type schema:PropertyValue
46 N1c5536559f5f4763bab0cfac8b7b153c schema:issueNumber 7
47 rdf:type schema:PublicationIssue
48 N25f2556fff004c659f1b0124f2f12ffe rdf:first sg:person.014627242503.12
49 rdf:rest N9f619714f43d43798f6961f28701454d
50 N329f65e32eef4faaa69f585d19f7ef0c schema:name readcube_id
51 schema:value 3c14701600c67d68cc2848bab79fefb3450758e3ef0fc324be7d1ac2bd5866b7
52 rdf:type schema:PropertyValue
53 N67218db4dc334a0e824df947ff115040 schema:name doi
54 schema:value 10.1007/s00261-017-1357-3
55 rdf:type schema:PropertyValue
56 N7dab12a354394bdcb88bfb988618c085 rdf:first sg:person.01176525467.80
57 rdf:rest rdf:nil
58 N9cf3d88c17fd4d018e5fb00c9841a333 rdf:first sg:person.01246760377.33
59 rdf:rest N7dab12a354394bdcb88bfb988618c085
60 N9f619714f43d43798f6961f28701454d rdf:first sg:person.0764104440.34
61 rdf:rest N9cf3d88c17fd4d018e5fb00c9841a333
62 Nb5fc061836a247a6b269f2b7da6139d6 schema:name dimensions_id
63 schema:value pub.1092249350
64 rdf:type schema:PropertyValue
65 Nba1340f1c42944179725755565ab0f04 schema:volumeNumber 43
66 rdf:type schema:PublicationVolume
67 Nd7e5b6bbf91b4cddbdeb0cd3c1207348 rdf:first sg:person.0732323454.91
68 rdf:rest N25f2556fff004c659f1b0124f2f12ffe
69 Ne14f2640860d46c7b010f419d1c9babb schema:name Springer Nature - SN SciGraph project
70 rdf:type schema:Organization
71 Nff0bb7e2ccce4c93b3d138f1decdf907 schema:name pubmed_id
72 schema:value 29043402
73 rdf:type schema:PropertyValue
74 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
75 schema:name Medical and Health Sciences
76 rdf:type schema:DefinedTerm
77 anzsrc-for:1117 schema:inDefinedTermSet anzsrc-for:
78 schema:name Public Health and Health Services
79 rdf:type schema:DefinedTerm
80 sg:journal.1297457 schema:issn 2366-004X
81 2366-0058
82 schema:name Abdominal Radiology
83 rdf:type schema:Periodical
84 sg:person.01176525467.80 schema:affiliation https://www.grid.ac/institutes/grid.412623.0
85 schema:familyName Wang
86 schema:givenName Carolyn L.
87 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01176525467.80
88 rdf:type schema:Person
89 sg:person.01246760377.33 schema:affiliation https://www.grid.ac/institutes/grid.412623.0
90 schema:familyName O’Malley
91 schema:givenName Ryan B.
92 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01246760377.33
93 rdf:type schema:Person
94 sg:person.014627242503.12 schema:affiliation https://www.grid.ac/institutes/grid.412623.0
95 schema:familyName Lewis
96 schema:givenName Cory E.
97 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014627242503.12
98 rdf:type schema:Person
99 sg:person.0732323454.91 schema:affiliation https://www.grid.ac/institutes/grid.410871.b
100 schema:familyName Baheti
101 schema:givenName Akshay D.
102 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0732323454.91
103 rdf:type schema:Person
104 sg:person.0764104440.34 schema:affiliation https://www.grid.ac/institutes/grid.412623.0
105 schema:familyName Hippe
106 schema:givenName Daniel S.
107 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0764104440.34
108 rdf:type schema:Person
109 https://app.dimensions.ai/details/publication/pub.1079075400 schema:CreativeWork
110 https://doi.org/10.1002/uog.5365 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002533949
111 rdf:type schema:CreativeWork
112 https://doi.org/10.1016/j.ajog.2009.11.029 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000194916
113 rdf:type schema:CreativeWork
114 https://doi.org/10.1016/j.jacr.2013.05.023 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020465272
115 rdf:type schema:CreativeWork
116 https://doi.org/10.1016/j.ygyno.2003.11.029 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003947030
117 rdf:type schema:CreativeWork
118 https://doi.org/10.1097/00006250-200309000-00030 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017694216
119 rdf:type schema:CreativeWork
120 https://doi.org/10.1136/bmj.c6839 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015042546
121 rdf:type schema:CreativeWork
122 https://doi.org/10.1148/radiol.10100213 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029282877
123 rdf:type schema:CreativeWork
124 https://doi.org/10.1148/radiol.11102467 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045388740
125 rdf:type schema:CreativeWork
126 https://doi.org/10.2214/ajr.09.3522 schema:sameAs https://app.dimensions.ai/details/publication/pub.1069300519
127 rdf:type schema:CreativeWork
128 https://doi.org/10.2214/ajr.168.3.9057508 schema:sameAs https://app.dimensions.ai/details/publication/pub.1069320700
129 rdf:type schema:CreativeWork
130 https://doi.org/10.2214/ajr.182.5.1821259 schema:sameAs https://app.dimensions.ai/details/publication/pub.1069326122
131 rdf:type schema:CreativeWork
132 https://doi.org/10.3109/00016349709024585 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009932146
133 rdf:type schema:CreativeWork
134 https://doi.org/10.4329/wjr.v5.i3.113 schema:sameAs https://app.dimensions.ai/details/publication/pub.1072524715
135 rdf:type schema:CreativeWork
136 https://www.grid.ac/institutes/grid.410871.b schema:alternateName Tata Memorial Hospital
137 schema:name Department of Radiology, Tata Memorial Center, E Borges Road, 400012, Parel, Mumbai, India
138 Department of Radiology, University of Washington Medical Center, 1959 NE Pacific Street, 98195, Seattle, WA, USA
139 rdf:type schema:Organization
140 https://www.grid.ac/institutes/grid.412623.0 schema:alternateName University of Washington Medical Center
141 schema:name Department of Radiology, University of Washington Medical Center, 1959 NE Pacific Street, 98195, Seattle, WA, USA
142 rdf:type schema:Organization
 




Preview window. Press ESC to close (or click here)


...